Machine Learning Engineer
Core
Founding Machine Learning Engineer building enterprise-scale propensity, conversion, and Gen AI models to drive revenue and customer personalization for Adobe's Unified Platform.
Role type
Senior IC machine learning engineer (enterprise AI)
Builds
Propensity and conversion models, anomaly detection and ROI prediction systems, customer persona/personalization models, and self-learning closed-loop systems.
Domain
Enterprise SaaS / Generative AI / Behavioral Analytics
Deliverable
production ML models
Required skills
deep learning model design, transformer and attention-based architectures, self-supervised pretraining, large-scale model training optimization, feature pipeline engineering, MLOps practices, distributed training strategies
Preferred skills
experience with Databricks and Spark, mentorship of junior engineers, innovation in ML/AI
Technologies
PyTorch, TensorFlow, Databricks, Spark, GPU infrastructure
Responsibilities
Build and train deep learning models from scratch including custom transformer architectures; Own the full training stack from tokenization to fine-tuning; Train large models efficiently on GPU infrastructure; Build and optimize feature pipelines on Databricks and Spark; Translate prototypes into production ML systems; Contribute to MLOps practices including experiment tracking and automated retraining; Mentor junior engineers on experimentation rigor and responsible AI.
Seniority
Senior, hands-on IC with founding team autonomy
